Abstract

This article presents a time-domain waveform model developed to characterize pulsed, nonlinear, current waveforms resulting in electromagnetic interference on static energy meters. The waveform model is calculated by fitting the sampled waveform data into a linear piece-wise function through a process that involves applying algorithms of pulse extraction, change-point detection, and redundancy elimination. The model is applied to data from laboratory experiments that have indicated critical current waveforms resulting in electromagnetic interference problems with static meters. Afterwards, the parameters of the modeled waveforms are calculated in order to correlate them to metering errors. The most relevant parameters that are correlated to significant errors are the maximum slope, crest factor, pulse duration, and charge. The waveform model provides an accurate description of the complex nonlinear waveforms through simplified analytical expressions that reproduce the significant features of the interfering waveforms. This waveform modeling approach could be used to standardize the artificial test signals that are representative of realistic devices and scenarios.

Highlights

  • T HE energy consumption of households, for billing purposes, is measured using static energy meters [1]

  • We focus only on the parameters that could be extracted from the modeled current waveform, it should be noted that the phase firing angle between the voltage and the current pulse has an influence on the error, as was already pinpointed in [2], [12], and [15]

  • A parametric waveform model was shown that provided a simplified description of complex nonlinear waveforms

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Summary

INTRODUCTION

T HE energy consumption of households, for billing purposes, is measured using static energy meters [1]. The absence of the referred parametric definition hinders the possibility of establishing new testing standards concerning the immunity of the static energy meter with respect to EMI problems To produce such a set of standardized artificial test signals is one of the goals of the MeterEMI project [20]. In this regard, this article aims at defining and validating a parametric model for the current waveforms that result in significant errors in static meter readings. This article aims at defining and validating a parametric model for the current waveforms that result in significant errors in static meter readings This model must provide a simplified, yet accurate, mathematical description of the current waveforms, such that it is easy to standardize into test waveforms.

WAVEFORMS RESULTING IN SIGNIFICANT ERRORS OF
MODELED WAVEFORM
Pulse Extraction
Change-Points Detection
Change-Points Selection
Modeled Waveform Validation
PARAMETRIC MODEL
CRITICAL WAVEFORM PARAMETERS RESULTING IN METERING ERRORS
Findings
CONCLUSION

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